Active interferometric signal analysis in software

Abstract

Techniques are provided for performing active interferometric signal analysis in software. The techniques exploit expressor functions designed to extract spectral invariants of events of interest associated with an arrayed platform device used to detect the signal pattern to be analyzed. Various techniques for generating expressor functions are also provided. Depending upon the implementation, the techniques provide for both detection and quantitation analysis by exploiting either constructive or destructive interferometric analysis using reverberant convergence to detect resonance events. The techniques achieve software emulation of wave-particle interactions and wave-wave interactions and can operate in either the frequency domain or the phase domain. The techniques may be used for analyzing static spatial systems, static data from arrayed measurement platforms, dynamical systems, spatio-temporal systems or plasma systems.

What is claimed is:  
     
         1 . A system for performing active interferometric analysis using an expresser function to detect the presence of an event of interest within an arrayed signal pattern via a computationally induced interference mechanism.  
     
     
         2 . The system of  claim 1  implemented in software.  
     
     
         3 . The system of  claim 1  wherein the arrayed signal pattern comprises either static data or dynamic data.  
     
     
         5 . The system of  claim 1  wherein the expresser function is a quantum expressor function.  
     
     
         6 . The system of  claim 1  wherein the arrayed signal pattern is in the form of one or more of a spatial 1-D array, a spatial 2-D array, an N-D array, a temporal point emitter array, a spatio-temporal point emitter array, spectral point emitter array, or a virtual array constructed by combining spatial separate point emitters.  
     
     
         7 . The system of  claim 1  wherein the arrayed signal pattern is generated from a device chosen from the group comprising: optical platforms, biomolecular platforms, ionic platforms, biomechanical platforms, optoelectronic platforms, radio frequency platforms, electronic microdevices.  
     
     
         8 . The system of  claim 1  wherein the arrayed signal pattern is generated from a device chosen from the group comprising: hybridized spotted cDNA microarrays, synthesized oligonucleotide arrays, spotted oligonucleotide arrays, peptide nucleotide assays, single nucleotide polymorphism (SNP) arrays, carbohydrate arrays, glycoprotein arrays, protein arrays, proteomic arrays, tissue arrays, antibody arrays, antigen arrays, bioassays, sequencing microarrays, sequencing by hybridization (SBH) microarrays, siRNA duplexes, RNAi arrays glass-based arrays, nylon membrane arrays, thin film arrays, polymer-substrate arrays, capillary electrophoresis arrays, genospectral arrays, electronic arrays, bead arrays, quantum dot arrays, glycan arrays, spotted wells, spotted well plates.  
     
     
         9 . The system of  claim 1  wherein the expressor function is designed to reject any interfering noise and background clutter from events of interest.  
     
     
         10 . The system of  claim 9  wherein the expressor function is designed so as to extract spectral invariants of events of interest associated with an array platform device used to detect the arrayed signal pattern.  
     
     
         11 . The system of  claim 1  wherein the expressor function is comprised of frequency domain sequences, time domain sequences or spectral sequences, phase sequences or numeric sequences.  
     
     
         12 . A system for performing active interferometric signal analysis of static data from an arrayed platform in software.  
     
     
         13 . The system of  claim 12  wherein the active interferometric analysis includes detection and quantitation analysis.  
     
     
         14 . The system of  claim 12  wherein the active interferometric analysis includes constructive interferometric analysis.  
     
     
         15 . The system of  claim 12  wherein the active interferometric analysis includes destructive interferometric analysis.  
     
     
         16 . The system of  claim 12  wherein the active interferometric analysis includes software emulation of wave-particle interactions.  
     
     
         17 . The system of  claim 12  wherein the active interferometric analysis includes software emulation of wave-wave interactions.  
     
     
         18 . The system of  claim 12  wherein the active interferometric analysis includes one or more of frequency domain, time domain, or phase domain analysis.  
     
     
         19 . The system of  claim 12  wherein the active interferometric analysis exploits iterative convergence to detect resonance events.  
     
     
         20 . A system for performing active interferometric analysis by using reverberant convergence to detect resonance events.  
     
     
         21 . The system of  claim 20  exploiting quantum interferometric analysis.  
     
     
         22 . The system of  claim 21  wherein the quantum interferometric analysis is applied to one or more of a static spatial system, a static data from arrayed measurement platforms, dynamical systems, spatio-temporal systems and plasma systems.  
     
     
         23 . The system of  claim 20  wherein the active interferometric analysis exploits non-classical noise.  
     
     
         24 . The system of  claim 23  wherein the active interferometric analysis exploits one or more of non-Gaussian noise, ergodic noise, and quantum-mechanical noise.  
     
     
         25 . The system of  claim 20  wherein the active interferometric analysis exploits resonant interferometric signal analysis using a digital representation of spectral pulses.  
     
     
         26 . The system of  claim 20  wherein the active interferometric signal analysis exploits one or more of coherent, incoherent, synchronized, or asynchronous oscillations.  
     
     
         27 . The system of  claim 20  wherein the active interferometric analysis exploits time domain or frequency domain convolution operations.  
     
     
         28 . The system of  claim 20  wherein the active interferometric analysis exploits expressor functions to detect the presence of an event of interest via a computationally induced interference mechanism.  
     
     
         29 . A method for actively analyzing a signal pattern representative of arrayed data to identify events of interest therein, the method comprising the steps of: 
 inputting a signal pattern representative of arrayed data;    generating resonance patterns based on interference between synthetic noise and the signal pattern; and    detecting resonances within the resonance patterns associated with events of interest.    
     
     
         30 . The method of  claim 29  wherein the synthetic noise is in the form of one or more of a quantum expressor function, a classical expressor function, classical statistical noise, pseudorandom noise, or a systemic bias.  
     
     
         31 . The method of  claim 29  wherein the arrayed data is in the form of one or more of a spatial 2-D array, a spatial 1-D array, an N-D array, a temporal point emitter array, a spatio-temporal point emitter array, spectral point emitter array or a virtual array constructed by combining spatial separate point emitters.  
     
     
         32 . The method of  claim 29  further including the step of pre-conditioning the signal pattern prior to the step of generating resonance patterns.  
     
     
         33 . The method of  claim 32  wherein the step of pre-conditioning the signal pattern is performed by applying one or more preconditioning functions in the form of a 1-D Fourier function, a 2-D Fourier function, an N-D Fourier function, a time division multiplexing (TDM) function, a wavelength division multiplexing (WDM) function, a frequency division multiplexing (FD) function, a radial basis function, a wavelet kernel function, a fractal function, a soliton function.  
     
     
         34 . The method of  claim 29  wherein the arrayed data is generated from a device chosen from the group comprising optical platforms, biomolecular platforms, ionic platforms, biomechanical platforms, optoelectronic platforms, radio frequency platforms, electronic microdevices.  
     
     
         35 . The method of  claim 29  wherein the arrayed data is generated from a device chosen from the group comprising: hybridized spotted cDNA microarrays, synthesized oligonucleotide arrays, spotted oligonucleotide arrays, peptide nucleotide assays, single nucleotide polymorphism (SNP) arrays, carbohydrate arrays, glycoprotein arrays, protein arrays, proteomic arrays, tissue arrays, antibody arrays, antigen arrays, bioassays, sequencing microarrays, sequencing by hybridization (SBH) microarrays, siRNA duplexes, RNAi arrays glass-based arrays, nylon membrane arrays, thin film arrays, polymer-substrate arrays, capillary electrophoresis arrays, genospectral arrays, electronic arrays, bead arrays, quantum dot arrays, glycan arrays, spotted wells, spotted well plates.  
     
     
         36 . A system for analyzing a signal pattern to identify events of interest within the signal pattern comprising: 
 an expressor function input unit;    a preconditioner unit;    an active interferometric coupler; and    a resonant marker detector.    
     
     
         37 . A system for analyzing an arrayed signal pattern generated by an arrayed platform device to identify events of interest within the signal pattern comprising: 
 an expressor function input unit for inputting expressor functions;    a preconditioner unit for preconditioning the arrayed signal pattern so as to convert the arrayed signal pattern to a spectral domain in which spectral harmonics parameterize events of interest to a pre-determined dynamical system;    a coupler unit for convolving the preconditioned signal pattern and the expresser functions so as to interferometrically enhance portions of the preconditioned signal pattern associated with events of interest, if any, present within the preconditioned signal pattern; and    a resonant marker detector for identifying occurrence of events of interest within the enhanced signal pattern.    
     
     
         38 . The system of  claim 37  wherein the signal pattern is imaged and pixilated.  
     
     
         39 . The system of  claim 37  wherein the expressor functions are designed so as to be capable of extracting one or more of spatial, spatio-temporal or spectral invariants of events of interest associated with the array device.  
     
     
         40 . A method for analyzing an arrayed signal pattern generated by an array device to identify events of interest within the signal pattern comprising the steps of: 
 inputting expressor functions capable of extracting spectral invariants of events of interest associated with the array device;    preconditioning the arrayed signal pattern so as to convert the arrayed signal pattern to a spectral domain;    convolving the preconditioned signal pattern and the expressor functions so as to interferometrically enhance portions of the preconditioned signal pattern associated with events of interest, if any, present within the preconditioned signal pattern; and    identifying events of interest within the enhanced signal pattern.    
     
     
         41 . The method of  claim 40  wherein the step of convolving the preconditioned signal pattern and the expressor functions includes the step of performing a reverberation convergence between the preconditioned signal pattern and the expressor functions to achieve a resonance state.  
     
     
         42 . The method of  claim 41  wherein the step of performing a reverberation convergence is performed using an open loop control process that terminates upon detection of a predetermined condition.  
     
     
         43 . The method of  claim 40  wherein the predetermined condition is a resonant marker corresponding to an event of interest.  
     
     
         44 . The method of  claim 40  wherein the step of convolving the preconditioned signal pattern and the expresser functions includes the step of a destructive interference between the preconditioned signal pattern and the expresser functions.  
     
     
         45 . The method of  claim 40  the step of convolving the preconditioned signal pattern and the expresser functions includes the step of a constructive interference between the preconditioned signal pattern and the expressor functions.  
     
     
         46 . A system for analyzing a signal pattern to identify events of interest within the signal pattern comprising: 
 an expresser function input unit; and    an adaptive interferometric coupler operative to perform signal preconditioning, convolution coupling and resonant marker detection using the expresser functions.    
     
     
         47 . A system for analyzing an arrayed signal pattern generated by an arrayed platform device to identify events of interest within the signal pattern comprising: 
 an expressor function input unit for inputting expresser functions capable of extracting spectral invariants of events of interest associated with the arrayed signal pattern; and    an adaptive interferometric coupler for preconditioning the arrayed signal pattern so as to convert the arrayed signal pattern to a spectral domain to a spectral domain in which spectral harmonics parameterize events of interest to a pre-determined dynamical system while convolving the signal pattern and the expresser functions so as to interferometrically enhance of portions of the signal pattern and to identify events of interest, if any, within the signal pattern.    
     
     
         48 . A method for analyzing an arrayed signal pattern generated by an arrayed platform device to identify events of interest within the signal pattern comprising the steps of: 
 inputting expresser functions capable of extracting spectral invariants of events of interest associated with the array device; and    preconditioning the arrayed signal pattern so as to convert the arrayed signal pattern to a spectral domain to a spectral domain to a spectral domain in which spectral harmonics parameterize events of interest to a pre-determined dynamical system while convolving the signal pattern and the expressor functions so as to interferometrically enhance portions of the signal pattern and to identify events of interest within the signal pattern.    
     
     
         49 . The method of  claim 48  wherein the step of preconditioning the signal pattern includes the step of performing a closed loop reverberation convergence between the signal pattern, as it is being preconditioned, and the introduced expresser functions to achieve a resonance state, terminated upon detection of a predetermined condition.  
     
     
         50 . The method of  claim 48  wherein the predetermined condition is a resonant marker.  
     
     
         51 . A system for analyzing a signal pattern to identify events of interest within the signal pattern comprising: 
 a preconditioner unit; and    an expresser function adaptation unit operative to perform convolution coupling and resonant marker detection using canonical expresser functions.    
     
     
         52 . A system for analyzing an arrayed signal pattern generated by an arrayed platform device to identify events of interest within the signal pattern comprising: 
 a preconditioner for preconditioning the arrayed signal pattern so as to convert the arrayed signal pattern to a spectral domain to a spectral domain in which spectral harmonics parameterize events of interest to a pre-determined dynamical system; and    an expresser function adaptation unit for generating preconditioned expressor functions based on canonical expresser functions and based on the preconditioned signal pattern while extracting spectral invariants of events of interest associated with the array device and interferometrically enhancing portions the preconditioned signal pattern so as to identify events of interest, if any, within the signal pattern.    
     
     
         53 . A method for analyzing an arrayed signal pattern generated by an array device to identify events of interest within the signal pattern comprising the steps of: 
 preconditioning the arrayed signal pattern so as to convert the arrayed signal pattern to a spectral domain to a spectral domain in which spectral harmonics parameterize events of interest to a pre-determined dynamical system; and    generating preconditioned expressor functions based on canonical expresser functions and based on the preconditioned signal pattern while extracting spectral invariants of events of interest associated with the array device and interferometrically enhancing portions the preconditioned signal pattern to identify events of interest, if any, within the signal pattern.    
     
     
         54 . The method of  claim 53  wherein the step of generating preconditioned expressor functions is performed so as to implicitly achieve a reverberation convergence between the preconditioned signal pattern and the expressor functions to achieve a resonance state.  
     
     
         55 . The method of  claim 53  wherein the step of generating preconditioned expressor functions is performed using a closed loop process.  
     
     
         56 . A system for analyzing a signal pattern to identify events of interest within the signal pattern comprising: 
 an expressor function input unit;    a preconditioner unit;    an iterative interferometric coupler; and    an adaptive controller operative to control the iterative interferometric coupler to perform convolution coupling and resonant marker detection using the input expresser functions.    
     
     
         57 . A system for analyzing an arrayed signal pattern generated by an arrayed platform device to identify events of interest within the signal pattern comprising: 
 an expressor function input unit for inputting expressor functions capable of extracting spectral invariants of events of interest associated with the array device;    a preconditioner for preconditioning the arrayed signal pattern so as to convert the arrayed signal pattern to a spectral domain to a spectral domain in which spectral harmonics parameterize events of interest to a pre-determined dynamical system;    an iterative interferometric coupler for convolving the preconditioned signal pattern and the expresser functions so as to interferometrically enhance portions of the preconditioned signal pattern associated with events of interest, if any, present within the preconditioned signal pattern; and    an adaptive controller for controlling the coupler to iteratively and selectively convolve expressor functions to the preconditioned signal pattern until a predetermined degree of convergence is achieved so as to identifying events of interest within the enhanced signal pattern.    
     
     
         58 . A method for analyzing an arrayed signal pattern generated by an arrayed platform device to identify events of interest within the signal pattern comprising the steps of: 
 inputting expresser functions capable of extracting spectral invariants of events of interest associated with the array device;    preconditioning the arrayed signal pattern so as to convert the arrayed signal pattern to a spectral domain; and    iteratively and selectively convolving the preconditioned signal pattern and the expresser functions so as to interferometrically enhance portions of the preconditioned signal pattern associated with events of interest, if any, present within the preconditioned signal pattern until a predetermined degree of convergence is achieved so as to identifying events of interest within the enhanced signal pattern.    
     
     
         59 . The method of  claim 58  wherein the step of iteratively and selectively convolving the preconditioned signal pattern and the expresser functions is performed by repeatedly convolving a single fixed expressor function to the preconditioned signal pattern using reverberant convergence until the predetermined degree of convergence is achieved.  
     
     
         60 . The method of  claim 58  wherein the step of iteratively and selectively convolving the preconditioned signal pattern and the expressor functions is performed by selectively convolving a set of different fixed expressor functions to the preconditioned signal pattern using reverberant convergence until the predetermined degree of convergence is achieved.  
     
     
         61 . The method of  claim 58  wherein the step of iteratively and selectively convolving the preconditioned signal pattern and the expressor functions is performed by selectively modifying and then convolving a dynamic expresser function to the preconditioned signal pattern using reverberant convergence until the predetermined degree of convergence is achieved.  
     
     
         62 . A system for analyzing an arrayed signal pattern generated by an arrayed platform device to identify events of interest within the signal pattern comprising: 
 means for inputting expresser functions capable of extracting spectral invariants of events of interest associated with the array device;    means for preconditioning the arrayed signal pattern so as to convert the arrayed signal pattern to a spectral domain; and    means for iteratively and selectively convolving the preconditioned signal pattern and the expresser functions so as to interferometrically enhance portions of the preconditioned signal pattern associated with events of interest, if any, present within the preconditioned signal pattern until a predetermined degree of convergence is achieved so as to identifying events of interest within the enhanced signal pattern.    
     
     
         63 . A computer code product for actively analyzing a signal pattern representative of arrayed data to identify events of interest therein, comprising: 
 computer code that inputs a signal pattern representative of arrayed data;    computer code that generates resonance patterns based on interference between synthetic noise and the signal pattern; and    computer code that detects resonances within the resonance patterns associated with events of interest.    
     
     
         64 . A computer code product for analyzing an arrayed signal pattern generated by an arrayed platform device to identify events of interest within the signal pattern, comprising: 
 computer code that preconditions the arrayed signal pattern based on input expresser functions so as to convert the arrayed signal pattern to a spectral domain in which spectral harmonics parameterize events of interest to a predetermined dynamical system;    computer code that convolves the preconditioned signal pattern and the expressor functions so as to interferometrically enhance portions of the preconditioned signal pattern associated with events of interest, if any, present within the preconditioned signal pattern; and    computer code that identifies the occurrence of events of interest within the enhanced signal pattern.